Computer Science

A stack is a data structure in which last item inserted is taken out first . That's why they are known as LIFO (last in first out). Inserting an item in stack is termed as push and taking an item out from stack I s termed as pop. Some applications of stack are : Polish notation, reversing string, backtracking , quick sort algorithm etc. The queue is a linear data structure where operations od insertion and deletion are performed at separate ends also known as front and rear. Queue is a FIFO structure that is first in first out. Whenever a new item is added to queue, rear pointer is used. and the front pointer is used when an item is deleted from the queue.

Yes, that's the rule in Python (and in many other programming languages, as well).

Nowadays computer have lot of advantages and also have some disadvantage.

The best way in all the components we need to take the advantages and don't consider the disadvantages. There are many implementations, innovations, Learning, Technology and till we going to meet Artificial Intelligence Computer soon. So, the world is move very faster than before. By using the computer with internet connectivity we can able to buy all things through online. In this case(Covid-19) situation makes everything possible from computer or mobile devices.

We can able to collect the data, buy something, searching for the best result, and storage purpose all these major operation get performed, Now, All we are moving to the machinery world, this is really works with the computer programming.

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There are few Microsoft Certifications, in which CompTIA certifications are used as a proper exam. In MCSE Security, CompTIA certifications can be used as one of the elective exam.

CompTIA Certifications are vendor-neutral certifications.Microsoft includes CompTIA Network+ in their Microsoft Certified Systems Administrator (MCSA) program, and other corporations such as Novell, Cisco and HP also recognize CompTIA Network+ as part of their certification tracks.

Algorithms are critical to the field of computer science. They embody the logic used to solve a problem. Written in words, they are (computer) language independent, and they allow peer/team review, so that a good design can result.

Big data is expected to be 7.9ZB in 2015. It is nothing but an assortment of such a huge and complex data that it becomes very tedious to capture, store, process, retrieve and analyze it with the help of on hand database management tools or traditional data processing techniques.

The interrupt vector table in the 8086/8088 is the first 1024 bytes in memory. There are 256 vectors, each containing 4 bytes, CS:IP, for each possible interrupt source.

Integrated Circuit

Media that is unguided has no connections, wires, or joined devices. This includes infrared, micro, radio, and even satellite waves.

classification is the grouping of things

There are many ways you could write a routine to implement text functions. You could, for example, come up with codes.

what are the differents between preindexing and post indexing?

flow chart to find whther the given number is perfect or not

sometimes

Yes. Digital signals have amplitude, as you do need to quantitatively specify the range of amplitudes that a signal must have to be considered in one state or the other. However, the actual amplitude is generally meaningless, so long as it is within the prescribed limits.

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A thread is basically a lightweight process.

A "shallow" copy is when the member values are physically copied from one

object to another, *including* the values of any pointer or reference

members. If there are pointer or reference memebrs, then, those poointers

or references refer to the *same* objects as the original object, which is

usually a bad thing. That's why you want to define a copy constructor and

assignment operator for objects that contain pointers or references.

It's called a "shallow" copy because only the values of the

pointers/references are copied, instead of making copies of those

referred-to objects and setting pointers to them. *That* is what would be

called a "deep" copy, because it's going "deeper" into the structure,

copying everything, not just the first "layer".

All of the above

The gradient descent algorithm is generally very slow because it requires small learning rates for stable learning. The momentum variation is usually faster than simple gradient descent, because it allows higher learning rates while maintaining stability, but it is still too slow for many practical applications. These two methods are normally used only when incremental training is desired. You would normally use Levenberg-Marquardt training for small and medium size networks, if you have enough memory available. If memory is a problem, then there are a variety of other fast algorithms available. For large networks you will probably want to use trainscg or trainrp.

Multilayered networks are capable of performing just about any linear or nonlinear computation, and can approximate any reasonable function arbitrarily well. Such networks overcome the problems associated with the perceptron and linear networks. However, while the network being trained might theoretically be capable of performing correctly, backpropagation and its variations might not always find a solution

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